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AttributeError: model tensorflow has no Depende keras in conda Immediate
原标题：AttributeError: module tensorflow has no attribute keras in conda prompt

我试图安装帐篷和煤炭。

我安装了帐篷,我进口了该帐篷,没有错误。

安装了Keras,但我可以进口

(base) C:Windowssystem32>pip uninstall keras
Found existing installation: Keras 2.3.1
Uninstalling Keras-2.3.1:
  Would remove:
    c:usersasusanaconda3anacondalibsite-packagesdocs*
    c:usersasusanaconda3anacondalibsite-packageskeras-2.3.1.dist-info*
    c:usersasusanaconda3anacondalibsite-packageskeras*
Proceed (y/n)? y
  Successfully uninstalled Keras-2.3.1

(base) C:Windowssystem32>pip install keras
Collecting keras
  Using cached Keras-2.3.1-py2.py3-none-any.whl (377 kB)
Requirement already satisfied: six>=1.9.0 in c:usersasusanaconda3anacondalibsite-packages (from keras) (1.14.0)
Requirement already satisfied: numpy>=1.9.1 in c:usersasusanaconda3anacondalibsite-packages (from keras) (1.18.4)
Requirement already satisfied: keras-applications>=1.0.6 in c:usersasusanaconda3anacondalibsite-packages (from keras) (1.0.8)
Requirement already satisfied: keras-preprocessing>=1.0.5 in c:usersasusanaconda3anacondalibsite-packages (from keras) (1.1.2)
Requirement already satisfied: scipy>=0.14 in c:usersasusanaconda3anacondalibsite-packages (from keras) (1.4.1)
Requirement already satisfied: pyyaml in c:usersasusanaconda3anacondalibsite-packages (from keras) (5.3.1)
Requirement already satisfied: h5py in c:usersasusanaconda3anacondalibsite-packages (from keras) (2.10.0)
Installing collected packages: keras
Successfully installed keras-2.3.1

接着,我尝试

(base) C:Windowssystem32>python
Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.

>>> from keras.models import sequential
Using TensorFlow backend.
2020-05-21 10:03:38.204077: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cudart64_101.dll ; dlerror: cudart64_101.dll not found
2020-05-21 10:03:38.210602: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskeras\__init__.py", line 3, in <module>
    from . import utils
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasutils\__init__.py", line 26, in <module>
    from .vis_utils import model_to_dot
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasutilsvis_utils.py", line 7, in <module>
    from ..models import Model
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasmodels.py", line 10, in <module>
    from .engine.input_layer import Input
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasengine\__init__.py", line 8, in <module>
    from .training import Model
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasengine	raining.py", line 14, in <module>
    from . import training_utils
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasengine	raining_utils.py", line 17, in <module>
    from .. import metrics as metrics_module
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasmetrics.py", line 1850, in <module>
    BaseMeanIoU = tf.keras.metrics.MeanIoU
AttributeError: module  tensorflow  has no attribute  keras 
>>> from keras.models import Sequential
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskeras\__init__.py", line 3, in <module>
    from . import utils
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasutils\__init__.py", line 26, in <module>
    from .vis_utils import model_to_dot
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasutilsvis_utils.py", line 7, in <module>
    from ..models import Model
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasmodels.py", line 12, in <module>
    from .engine.training import Model
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasengine\__init__.py", line 8, in <module>
    from .training import Model
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasengine	raining.py", line 14, in <module>
    from . import training_utils
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasengine	raining_utils.py", line 17, in <module>
    from .. import metrics as metrics_module
  File "C:UsersASUSAnaconda3Anacondalibsite-packageskerasmetrics.py", line 1850, in <module>
    BaseMeanIoU = tf.keras.metrics.MeanIoU
AttributeError: module  tensorflow  has no attribute  keras

我尝试:

pip install --upgrade --no-deps --force-reinstall tensorflow

pip install --upgrade pip setuptools wheel

pip uninstall protobuf

pip install protobuf

pip install termcolor

我已:

keras                     2.3.1                    pypi_0    pypi

keras-applications        1.0.8                    pypi_0    pypi

keras-preprocessing       1.1.2                    pypi_0    pypi

keyring                   21.1.1                   py36_2

kivy                      1.10.1.dev0              pypi_0    pypi

kivy-deps-glew            0.2.0                    pypi_0    pypi

kivy-deps-gstreamer       0.2.0                    pypi_0    pypi

kivy-deps-sdl2            0.2.0                    pypi_0    pypi

kivy-garden               0.1.4                    pypi_0    pypi

kiwisolver                1.2.0            py36h74a9793_0

lazy-object-proxy         1.4.3            py36he774522_0

我有 n、粉碎、花板、帐篷和大部分洗衣、手机、小口径汽车、小口径汽车、Ai、DS图书馆。

(base) C:UsersASUS>python
Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.

>>> import tensorflow
2020-05-22 06:23:19.327748: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cudart64_101.dll ; dlerror: cudart64_101.dll not found
2020-05-22 06:23:19.343057: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
>>> print(tensorflow)
<module  tensorflow  from  C:\Users\ASUS\Anaconda3\Anaconda\lib\site-packages\tensorflow\__init__.py >
>>>

当我管理帐篷时

(base) C:UsersASUS>python
Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow.compat.v1 as tf
2020-05-22 06:18:12.900849: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cudart64_101.dll ; dlerror: cudart64_101.dll not found
2020-05-22 06:18:12.914907: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
>>> tf.disable_v2_behavior()
WARNING:tensorflow:From C:UsersASUSAnaconda3Anacondalibsite-packages	ensorflowpythoncompatv2_compat.py:96: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version.
Instructions for updating:
non-resource variables are not supported in the long term
>>> hello = tf.constant( Hello, TensorFlow! )
>>> sess = tf.compat.v1.Session()
2020-05-22 06:20:28.305196: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2020-05-22 06:20:29.278356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1050 computeCapability: 6.1
coreClock: 1.493GHz coreCount: 5 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.43GiB/s
2020-05-22 06:20:29.295408: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cudart64_101.dll ; dlerror: cudart64_101.dll not found
2020-05-22 06:20:29.305186: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cublas64_10.dll ; dlerror: cublas64_10.dll not found
2020-05-22 06:20:29.314235: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cufft64_10.dll ; dlerror: cufft64_10.dll not found
2020-05-22 06:20:29.323997: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  curand64_10.dll ; dlerror: curand64_10.dll not found
2020-05-22 06:20:29.336231: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cusolver64_10.dll ; dlerror: cusolver64_10.dll not found
2020-05-22 06:20:29.349522: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cusparse64_10.dll ; dlerror: cusparse64_10.dll not found
2020-05-22 06:20:29.362633: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not load dynamic library  cudnn64_7.dll ; dlerror: cudnn64_7.dll not found
2020-05-22 06:20:29.372823: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1598] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...
2020-05-22 06:20:29.392493: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2020-05-22 06:20:29.413844: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x18bf4dc2f60 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-05-22 06:20:29.424116: I tensorflow/compiler/xla/service/service.cc:176]   StreamExecutor device (0): Host, Default Version
2020-05-22 06:20:29.432117: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-22 06:20:29.446877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]
>>> print(sess.run(hello))
b Hello, TensorFlow!

After I Solve it Check my answer below

(base) C:UsersASUS>python
Python 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
2020-05-29 17:59:47.814562: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
>>> import keras
Using TensorFlow backend.
>>> from keras.models import Sequential
>>> tf.test.is_built_with_cuda()
True
>>> tf.config.list_physical_devices( GPU )
2020-05-29 18:02:56.764618: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
2020-05-29 18:02:57.602680: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1050 computeCapability: 6.1
coreClock: 1.493GHz coreCount: 5 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.43GiB/s
2020-05-29 18:02:57.607142: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2020-05-29 18:02:57.703213: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2020-05-29 18:02:57.766722: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2020-05-29 18:02:57.797062: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2020-05-29 18:02:57.872961: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2020-05-29 18:02:57.920469: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2020-05-29 18:02:58.035860: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2020-05-29 18:02:58.148699: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
[PhysicalDevice(name= /physical_device:GPU:0 , device_type= GPU )]
>>> tf.test.is_gpu_available(cuda_only=False, min_cuda_compute_capability=None)
2020-05-29 18:03:43.187834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1050 computeCapability: 6.1
coreClock: 1.493GHz coreCount: 5 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.43GiB/s
2020-05-29 18:03:43.200093: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
2020-05-29 18:03:43.205083: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
2020-05-29 18:03:43.214701: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
2020-05-29 18:03:43.217616: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
2020-05-29 18:03:43.229945: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
2020-05-29 18:03:43.238134: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
2020-05-29 18:03:43.247848: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
2020-05-29 18:03:43.256302: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0
2020-05-29 18:03:43.264822: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-05-29 18:03:43.269994: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]      0
2020-05-29 18:03:43.271951: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0:   N
2020-05-29 18:03:43.275672: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/device:GPU:0 with 2993 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050, pci bus id: 0000:01:00.0, compute capability: 6.1)
True
>>>
最佳回答

我在进行这一研究后,与CUDA 10.1 https://towardsdatascience.com/installing-tensorflow-with-cuda-cudnn-and-gpu-support-on-windsow-10-6069346e781 。 在座标一停止并再次安装pip keras <>code>之后,pip装置__up levels setuptools, pipstalake /code>,pipstal keras-models,pipstal keras-applications ,pip keras-pre-preprocess /code>和下载视觉工作室,2015年。 然后,从我的格格言()起,从地狱中起。 进口顺序和检查短线。

时间：2020-05-29 14:56:23
问题回答

don t forget to make an env for using tensorflow. it needs it s own enviroment. when i used conda i had some trouble trying to use tf and it was mainly because i didn t set it up in the right way.

https://docs.conda.io/projects/conda/en/latest/user-guide/ks/manage-environments.html#creating-an-environment-with-commands

时间：2020-05-24 01:40:39




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